Far East Journal of Theoretical Statistics
Volume 21, Issue 2, Pages 217 - 240
(March 2007)
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REGRESSION FOR SEMIPARAMETRIC TRANSFORMATION MODELS WITH INTERVAL-CENSORED DATA
Xiaobing Zhao (P. R. China)
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Abstract: In this paper we propose an easily implemented methodology to
investigate semiparametric transformation models with interval-censored
observations, under which an unknown transformation of survival times is linear
related to the covariates with various error distributions. Our procedures are
to propose a consistent estimator for the unknown transformation and then to
transform the observation data in an appropriate way, such as, extended Class-K
method, thus the least squares regression is available to obtain the estimators
of coefficients for covariates. The asymptotic properties are also established.
Simulations are reported to illustrate our statistical inferences. |
Keywords and phrases: semiparametric transformation, interval-censored, data
transform, extended class-K method, least squares regression. |
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